Triple
T28095421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of a Lady (Cornelis de Vos) |
E710073
|
entity |
| Predicate | creatorMainActivityPlace |
P140080
|
FINISHED |
| Object | Antwerp |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Antwerp | Statement: [Portrait of a Lady (Cornelis de Vos), creatorMainActivityPlace, Antwerp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorMainActivityPlace Context triple: [Portrait of a Lady (Cornelis de Vos), creatorMainActivityPlace, Antwerp]
-
A.
creatorActivePlace
chosen
Indicates the place where a creator is or was actively engaged in their creative work or practice.
-
B.
placeCreated
Indicates that one entity is the location where another entity was created or came into existence.
-
C.
activityStartPlace
Indicates the location where an activity begins or is initiated.
-
D.
promotionPlaces
Indicates that one entity designates or assigns another entity to a higher position, rank, or status within some organizational or hierarchical structure.
-
E.
placesEntrepreneurAs
Indicates that one entity assigns, appoints, or recognizes another entity as an entrepreneur in a particular role or context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 27, 2026, 9:01 p.m.